Makeesy AI

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Welcome to my YouTube Channel and thanks for subscribing, If you haven't, Subscribe Now! Using the channel, we'll try to understand the AI concepts with basi...

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Pytorch for Beginners #43 Transformer Model Implement EncoderDecoder

Pytorch for Beginners #42 Transformer Model Implement Decoder

Pytorch for Beginners #41 Transformer Model Implement Encoder

Pytorch for Beginners #40 Transformer Model Understanding LayerNorm with in-depth-details

Pytorch for Beginners #39 Transformer Model Understanding BatchNorm with in-depth-details

Pytorch for Beginners #38 Transformer Model Understanding Dropout with In-Depth-Details

Pytorch for Beginners #37 Transformer Model Masked SelfAttention - Implementation

Pytorch for Beginners #36 Transformer Model Decoder Attention Masking

Pytorch for Beginners #35 Transformer Model Encoder Attention Masking

Pytorch for Beginners #34 Transformer Model Understand Masking

Pytorch for Beginners #33 Transformer Model Position Embeddings- Validate Properties - Part 2

Pytorch for Beginners #32 Transformer Model Position Embeddings - Validate Properties

Pytorch for Beginners #31 Transformer Model Position Embeddings - Implement and Visualize

Pytorch for Beginners #30 Transformer Model - Position Embeddings

Pytorch for Beginners #29 Transformer Model Multiheaded Attention - Scaled Dot-Product

Pytorch for Beginners #28 Transformer Model Multiheaded Attention - Optimize Basic Implementation

Pytorch for Beginners #27 Transformer Model Multiheaded Attn-Implementation with In-Depth-Details

Pytorch for Beginners #26 Transformer Model Self Attention - Optimize Basic Implementation

Pytorch for Beginners #25 Transformer Model Self Attention - Implementation with In-Depth Details

Pytorch for Beginners #24 Transformer Model Self Attention - Simplest Explanation

Pytorch for Beginners #23 Recurrent Neural Networks Understanding and Implementing GRU

Pytorch for Beginners #22 Recurrent Neural Networks Understanding and Implementing LSTM

Pytorch for Beginners #21 Recurrent Neural Networks Understanding and Implementing Vanilla RNN

Pytorch for Beginners #20 Optimizers SGD with Manual Gradient Computation

Pytorch for Beginners #19 Optimizers Stochastic Gradient Descent and Adaptive Moment Estimation

Pytorch for Beginners #18 Loss Functions Ranking Loss (Pair Ranking and Triplet Ranking Loss)

Pytorch for Beginners #17 Loss Functions Classification Loss (NLL and Cross-Entropy Loss)

Pytorch for Beginners #16 Loss Functions - Regression Loss (L1 and L2)

Pytorch for Beginners #15 Pytorch Containers - nn.ParameterDict

Pytorch for Beginners #14 Pytorch Containers - nn.ParameterList